Decision trees are a widely used knowledge representation in machine learning. However, one of their main drawbacks is the inherent replication of isomorphic subtrees, as a result...
Christophe Mues, Bart Baesens, Craig M. Files, Jan...
Bit vectors and bit operations are proposed for efficient propositional inference. Bit arithmetic has efficient software and hardware implementations, which can be put to advantage...
In this paper, we describe the concept of ontological design. We show how ontologies can be used as cognitive maps of complex, ill-structured, plastic problems. They can be used t...
The trend towards highly specialized solution providers cooperatively offering configurable products and services to their customers requires the extension of current (standalone)...
Alexander Felfernig, Gerhard Friedrich, Dietmar Ja...
— Underwater operations present unique challenges and opportunities for robotic applications. These can be attributed in part to limited sensing capabilities, and to locomotion b...